Evaluating an AI agent requires more than checking its final answer. Strong evals measure outcomes, inspect trajectories, repeat trials, test safety boundaries, and track the cost of getting reliable work done.
Evaluating an AI agent requires more than checking its final answer. Strong evals measure outcomes, inspect trajectories, repeat trials, test safety boundaries, and track the cost of getting reliable work done.